US 11,836,240 B2
Frequency-domain convolutional neural network
Yen-Kuang Chen, Palo Alto, CA (US); Shao-Wen Yang, San Jose, CA (US); Ibrahima J. Ndiour, Portland, OR (US); Yiting Liao, Sunnyvale, CA (US); Vallabhajosyula S. Somayazulu, Portland, OR (US); Omesh Tickoo, Portland, OR (US); and Srenivas Varadarajan, Bangalore (IN)
Assigned to INTEL CORPORATION, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on Jan. 20, 2023, as Appl. No. 18/157,154.
Application 18/157,154 is a continuation of application No. 16/948,304, filed on Sep. 11, 2020, granted, now 11,562,181.
Application 16/948,304 is a continuation of application No. 16/024,397, filed on Jun. 29, 2018, granted, now 10,778,412, issued on Sep. 15, 2020.
Claims priority of provisional application 62/691,464, filed on Jun. 28, 2018.
Claims priority of provisional application 62/611,536, filed on Dec. 28, 2017.
Prior Publication US 2023/0237144 A1, Jul. 27, 2023
Int. Cl. G06F 21/44 (2013.01); H04L 9/06 (2006.01); G06F 21/64 (2013.01); G06F 21/53 (2013.01); G06N 5/022 (2023.01); G06F 21/45 (2013.01); H04L 9/32 (2006.01); H04W 4/70 (2018.01); G06F 16/538 (2019.01); G06F 16/535 (2019.01); G06F 16/54 (2019.01); G06F 21/62 (2013.01); G06F 9/50 (2006.01); G06N 3/04 (2023.01); G06N 3/063 (2023.01); G06V 10/44 (2022.01); G06V 20/00 (2022.01); G06V 40/20 (2022.01); G06V 40/16 (2022.01); G06F 9/48 (2006.01); H04L 67/51 (2022.01); G06T 7/11 (2017.01); G06V 10/96 (2022.01); G06V 30/262 (2022.01); G06K 15/02 (2006.01); G06F 18/24 (2023.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/211 (2023.01); G06F 18/213 (2023.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06V 30/19 (2022.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 10/75 (2022.01); G06V 10/20 (2022.01); G06V 10/40 (2022.01); G06N 3/08 (2023.01); H04L 67/12 (2022.01); H04N 19/80 (2014.01); G06F 16/951 (2019.01); H04N 19/46 (2014.01); G06T 7/70 (2017.01); H04W 12/02 (2009.01); H04L 9/00 (2022.01); H04N 19/12 (2014.01); H04N 19/124 (2014.01); H04N 19/167 (2014.01); H04N 19/172 (2014.01); H04N 19/176 (2014.01); H04N 19/44 (2014.01); H04N 19/48 (2014.01); H04N 19/513 (2014.01); G06T 7/20 (2017.01); G06F 18/243 (2023.01); G06V 30/194 (2022.01); H04N 19/42 (2014.01); H04N 19/625 (2014.01); H04N 19/63 (2014.01); G06T 7/223 (2017.01); H04L 67/10 (2022.01)
CPC G06F 21/44 (2013.01) [G06F 9/4881 (2013.01); G06F 9/5044 (2013.01); G06F 9/5066 (2013.01); G06F 9/5072 (2013.01); G06F 16/535 (2019.01); G06F 16/538 (2019.01); G06F 16/54 (2019.01); G06F 16/951 (2019.01); G06F 18/21 (2023.01); G06F 18/211 (2023.01); G06F 18/213 (2023.01); G06F 18/2163 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06F 18/24143 (2023.01); G06F 21/45 (2013.01); G06F 21/53 (2013.01); G06F 21/6254 (2013.01); G06F 21/64 (2013.01); G06K 15/1886 (2013.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 3/063 (2013.01); G06N 3/08 (2013.01); G06N 5/022 (2013.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G06V 10/20 (2022.01); G06V 10/40 (2022.01); G06V 10/454 (2022.01); G06V 10/75 (2022.01); G06V 10/82 (2022.01); G06V 10/95 (2022.01); G06V 10/96 (2022.01); G06V 20/00 (2022.01); G06V 30/19173 (2022.01); G06V 30/274 (2022.01); G06V 40/161 (2022.01); G06V 40/20 (2022.01); H04L 9/0643 (2013.01); H04L 9/3239 (2013.01); H04L 67/12 (2013.01); H04L 67/51 (2022.05); H04N 19/46 (2014.11); H04N 19/80 (2014.11); H04W 4/70 (2018.02); G06F 18/24323 (2023.01); G06F 2209/503 (2013.01); G06F 2209/506 (2013.01); G06F 2221/2117 (2013.01); G06T 7/20 (2013.01); G06T 7/223 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20052 (2013.01); G06T 2207/20056 (2013.01); G06T 2207/20064 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30242 (2013.01); G06V 30/194 (2022.01); G06V 2201/10 (2022.01); H04L 9/50 (2022.05); H04L 67/10 (2013.01); H04N 19/12 (2014.11); H04N 19/124 (2014.11); H04N 19/167 (2014.11); H04N 19/172 (2014.11); H04N 19/176 (2014.11); H04N 19/42 (2014.11); H04N 19/44 (2014.11); H04N 19/48 (2014.11); H04N 19/513 (2014.11); H04N 19/625 (2014.11); H04N 19/63 (2014.11); H04W 12/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. At least one non-transitory computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed on processing circuitry, cause the processing circuitry to:
receive a frequency-domain representation of image data, wherein the frequency-domain representation comprises a plurality of sets of transform coefficients for a plurality of blocks of the image data; and
detect content in the image data using a convolutional neural network (CNN), wherein the CNN is trained to detect the content in the image data based on corresponding transform coefficients among the plurality of blocks.